feat: using the gpt-4o-mini instead of gpt3.5-turbo!

[amindadgar]

it's cheaper and have a better performance.

Summary by CodeRabbit

• New Features
  • Upgraded AI models for improved performance in question generation and query handling.
• Bug Fixes
  • Maintained error handling for the discourse platform, ensuring clarity on functionality availability.

[coderabbitai]

Walkthrough

The changes in this pull request focus on updating the AI models used in the query_multiple_source function within subquery.py. The OpenAI model has been upgraded from "gpt-3.5-turbo" to "gpt-4o-mini", and the GuidanceQuestionGenerator now utilizes "gpt-4" for question generation. While the overall structure and logic of the function remain unchanged, these modifications enhance the model capabilities without altering existing parameters or return types.

Changes

File	Change Summary
subquery.py	Updated llm from OpenAI("gpt-3.5-turbo") to OpenAI("gpt-4o-mini"). Updated guidance_llm from OpenAIChat("gpt-3.5-turbo") to OpenAIChat("gpt-4"). Function logic and structure remain unchanged.

Poem

🐇 In the land of code where the rabbits play,
New models hop in, brightening the day!
From "gpt-3.5" to "gpt-4o-mini,"
Our queries now dance, oh so witty and skinny!
With guidance from "gpt-4," we leap and we bound,
In the fields of knowledge, new treasures are found! 🌟

---

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[coderabbitai]

Actionable comments posted: 1

🧹 Outside diff range and nitpick comments (1)

subquery.py (1)

Line range hint 207-211: Review model choice for question generation

While GPT-4 is a valid model, using it for question generation might be unnecessarily expensive. The PR's objective mentions cost savings, but this change would increase costs. Consider if GPT-3.5-turbo would be sufficient for question generation, as it's typically adequate for simpler tasks like question decomposition.

Consider these factors:

1. Cost: GPT-4 is significantly more expensive than GPT-3.5-turbo
2. Performance needs: Is the improved performance of GPT-4 necessary for question generation?
3. Consistency: Using different model tiers for different components might lead to inconsistent behavior

If cost optimization is a priority, consider:

     question_gen = GuidanceQuestionGenerator.from_defaults(
-        guidance_llm=OpenAIChat("gpt-4"),
+        guidance_llm=OpenAIChat("gpt-3.5-turbo"),
         verbose=False,
         prompt_template_str=DEFAULT_GUIDANCE_SUB_QUESTION_PROMPT_TMPL,
     )

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 6e0f1f5 and 54e5c08.

📒 Files selected for processing (1)

• subquery.py (1 hunks)

🔇 Additional comments (1)

subquery.py (1)

Line range hint 203-211: Verify changes with integration tests

Given that these model changes affect the core query functionality across multiple data sources, please ensure:

1. Integration tests are updated and passing with the new models
2. Response quality is validated across different types of queries
3. Error handling is tested with various scenarios
4. Performance metrics are collected to justify the model changes